Data Product Manager | IT

Data Product Manager

Location: Multiple Location

Experience: 3 - 6 Years

Jd
• Passion for data is a must
• 3-5 years of Product Management work experience or equivalent experience at a technology company
• Strong data analytics background with a demonstrated ability to translate business needs into impactful outcomes.
• Working knowledge of business intelligence/reporting tools such as Tableau Quick sights with related experience analyzing data as well as writing queries (SQL) and reports
• Exposure to Big Data is a must. Hadoop, AWS or similar/related technologies is must
• Must have the ability to think analytically about products and to do some data analysis
• Experience and understanding of the data lifecycle; sourcing, ingestion, maintenance, removal
• Think big, be data driven and obsessed with helping deliver industry leading experiences
• Exceptional independent problem solving skills, attention to detail, flexibility, and ability to collaborate with others and to work in a fast-paced environment
• A curiosity for numbers and comfort analyzing product experiences with quantitative tools
• A record of delivering initiatives from concept through completion
• Ability to drive execution, staying ahead of dependencies, making smart tradeoffs, coordinating dependencies, and maintaining communication throughout the organization
• Excellent communications skills, both oral and written. Must be able to communicate effectively and confidently with users, team members and management
• Experience in handling Data Security and Governance
• Working knowledge of Python, Shell
• Ability to work some flexible hours due to varying time zones.
• Partner and collaborate with engineering and business teams to design, build and mature data products
• Interpret and prioritize business needs across various stakeholders group including other Product Managers, Business Analytics and CDM
• Work together with engineers on an Agile Scrum team to plan and execute data product outcomes
• Propose and present future product innovations for the data products
• Define success metrics and SLAs on the key data products and services
• Communicate decision making process and associated data widely throughout the company

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